Skip to main content
DiceKey
DiceKey
Case StudiesTrades Business Data Model
Trades
Power Platform or bespoke

Trades Business Data Model

Jobs, Customers, and Profitability

Most trades businesses track jobs in spreadsheets or even paper, making it impossible to know which jobs actually make money.

Jobs and profitability dashboard for a trades business, alongside a connected data model of customers, jobs, quotes and invoices
A real example, recreated and anonymised: client data stays private.
Connected data structure
12 tables

Executive summary

Maturity score
1.0 / 4
Annual waste
£28,000
Risk flags
3 identified
Top priority
Job Profitability Tracking

The problem, in detail.

Pain points uncovered during discovery. Each one costs real time and money.

Total annual waste identified: £28,000

How we fixed it.

A structured data model connecting customers, quotes, jobs, materials, time, and invoices, so you can see true profitability per job.

  • One record per customer, linked to every quote, job and invoice they touch
  • Materials and hours logged against the job they belong to, not a separate list
  • Live margin on every job: labour, materials and overhead in one view
  • The invoice builds itself from the job record the day the work completes

The measurable impact.

Numbers from the engagement. Your results will depend on scope and starting point.

12
Tables
Interconnected data structure
8
Key Reports
Pre-built analytics views
2-4 weeks
Setup Time
Typical implementation

Real feedback from real people.

I thought we were making 30% margin. Turns out it was closer to 12% when you factor everything in.

O
Owner
Plumbing Business

Ready to fix your data?

Most businesses carry hidden costs from scattered data. Tell us where it hurts and we'll map the system that fixes it.